变压器用于能源预测
Hugo S Oliveira1,2, Helder P Oliveira1,2
1Institute for Systems and Computer Engineering, Technology and Science-INESC TEC, University of Porto, 4200-465 Porto, Portugal.
Sensors (Basel, Switzerland)
|August 12, 2023
概括
准确的建筑能耗预测对于能源效率至关重要. 一个新的变压器模型显著改善了预测,超过了可持续建筑运营的旧方法.
科学领域:
- 建筑科学 建筑科学
- 人工智能的人工智能
- 能源系统 能源系统
背景情况:
- 随着能源需求的不断增长和气候变化,建筑物需要提高能源效率.
- 精确的能源消耗预测是优化建筑性能和运营的关键.
- 识别能效升级依赖于可靠的消耗预测.
研究的目的:
- 开发和评估建筑能源消耗的先进预测模型.
- 为了应对能源使用中的多变量时间序列预测的挑战.
- 提高能源消耗预测的准确性和稳定性,以优化建筑管理.
主要方法:
- 针对多变量时间序列分析,提出了一种修改的多头变压器模型.
- 引入了一个可学习的权重特征注意力矩阵,以结合输入变量.
- 该模型的性能与经常性神经网络 (RNN) 模型进行了比较.
主要成果:
- 拟议的基于变压器的模型在预测能源消耗方面表现强.
- 与RNN模型相比,该模型实现了较低的平均绝对百分比误差.
- 多变量方法有效地整合了预测的各种输入因素.
结论:
- 修改后的变压器模型为多变量能耗预测提供了卓越的性能.
- 这种先进的模型可以集成到未来的系统来追踪能源场景.
- 这些发现有助于创造更可持续,更节能的建筑使用模式.
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